Overview

Dataset statistics

Number of variables4
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory35.0 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description인천광역시 중구 관내에 위치한 PC방에 대한 데이터 입니다.파일명 인천광역시_중구_PC방 현황파일내용 상호명, 영업소소재지
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086291&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
기준 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:56:23.365496
Analysis finished2024-03-18 05:56:24.529827
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-03-18T14:56:24.611074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2024-03-18T14:56:24.761168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

상호명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-03-18T14:56:25.058843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length6.4153846
Min length3

Characters and Unicode

Total characters417
Distinct characters136
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)93.8%

Sample

1st rowSTYLE PC방
2nd row스타PC방
3rd row그레이PC
4th row샹떼PC방
5th row아레나PC
ValueCountFrequency (%)
pc 6
 
6.7%
pc방 4
 
4.4%
강남pc 2
 
2.2%
놀이터pc 2
 
2.2%
force 1
 
1.1%
ss 1
 
1.1%
홍콩 1
 
1.1%
해변pc 1
 
1.1%
헤라pc 1
 
1.1%
스타pc 1
 
1.1%
Other values (70) 70
77.8%
2024-03-18T14:56:25.507442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 61
 
14.6%
P 60
 
14.4%
25
 
6.0%
방 13
 
3.1%
스 13
 
3.1%
이 12
 
2.9%
드 9
 
2.2%
아 6
 
1.4%
다 6
 
1.4%
O 5
 
1.2%
Other values (126) 207
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
55.6%
Uppercase Letter 151
36.2%
Space Separator 25
 
6.0%
Lowercase Letter 6
 
1.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 13
 
5.6%
스 13
 
5.6%
이 12
 
5.2%
드 9
 
3.9%
아 6
 
2.6%
다 6
 
2.6%
점 5
 
2.2%
카 5
 
2.2%
요 4
 
1.7%
존 4
 
1.7%
Other values (105) 155
66.8%
Uppercase Letter
ValueCountFrequency (%)
C 61
40.4%
P 60
39.7%
O 5
 
3.3%
E 5
 
3.3%
R 4
 
2.6%
G 3
 
2.0%
S 3
 
2.0%
A 2
 
1.3%
N 2
 
1.3%
Z 1
 
0.7%
Other values (5) 5
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
c 3
50.0%
p 3
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
＆ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 232
55.6%
Latin 157
37.6%
Common 28
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 13
 
5.6%
스 13
 
5.6%
이 12
 
5.2%
드 9
 
3.9%
아 6
 
2.6%
다 6
 
2.6%
점 5
 
2.2%
카 5
 
2.2%
요 4
 
1.7%
존 4
 
1.7%
Other values (105) 155
66.8%
Latin
ValueCountFrequency (%)
C 61
38.9%
P 60
38.2%
O 5
 
3.2%
E 5
 
3.2%
R 4
 
2.5%
G 3
 
1.9%
S 3
 
1.9%
c 3
 
1.9%
p 3
 
1.9%
A 2
 
1.3%
Other values (7) 8
 
5.1%
Common
ValueCountFrequency (%)
25
89.3%
) 1
 
3.6%
( 1
 
3.6%
＆ 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
55.6%
ASCII 184
44.1%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 61
33.2%
P 60
32.6%
25
13.6%
O 5
 
2.7%
E 5
 
2.7%
R 4
 
2.2%
G 3
 
1.6%
S 3
 
1.6%
c 3
 
1.6%
p 3
 
1.6%
Other values (10) 12
 
6.5%
Hangul
ValueCountFrequency (%)
방 13
 
5.6%
스 13
 
5.6%
이 12
 
5.2%
드 9
 
3.9%
아 6
 
2.6%
다 6
 
2.6%
점 5
 
2.2%
카 5
 
2.2%
요 4
 
1.7%
존 4
 
1.7%
Other values (105) 155
66.8%
None
ValueCountFrequency (%)
＆ 1
100.0%

영업소소재지(도로명)
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-03-18T14:56:25.888701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length33
Min length20

Characters and Unicode

Total characters2145
Distinct characters139
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 신포로 18-1 (신생동)
2nd row인천광역시 중구 서해대로464번길 10, 2층 (선화동)
3rd row인천광역시 중구 서해대로 478 (유동)
4th row인천광역시 중구 신도시남로141번길 16 (운서동, 지하 1층)
5th row인천광역시 중구 운서1로4번길 30, 2층 (운서동)
ValueCountFrequency (%)
인천광역시 65
 
15.7%
중구 65
 
15.7%
운서동 19
 
4.6%
중산동 15
 
3.6%
2층 11
 
2.7%
인현동 8
 
1.9%
항동7가 7
 
1.7%
연안부두로33번길 6
 
1.5%
26 6
 
1.5%
1층 6
 
1.5%
Other values (145) 205
49.6%
2024-03-18T14:56:26.469755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
16.2%
1 105
 
4.9%
중 87
 
4.1%
시 75
 
3.5%
인 73
 
3.4%
동 68
 
3.2%
, 66
 
3.1%
천 65
 
3.0%
광 65
 
3.0%
역 65
 
3.0%
Other values (129) 1128
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1200
55.9%
Decimal Number 385
 
17.9%
Space Separator 348
 
16.2%
Other Punctuation 66
 
3.1%
Close Punctuation 65
 
3.0%
Open Punctuation 65
 
3.0%
Dash Punctuation 12
 
0.6%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 87
 
7.2%
시 75
 
6.2%
인 73
 
6.1%
동 68
 
5.7%
천 65
 
5.4%
광 65
 
5.4%
역 65
 
5.4%
구 65
 
5.4%
로 62
 
5.2%
길 39
 
3.2%
Other values (110) 536
44.7%
Decimal Number
ValueCountFrequency (%)
1 105
27.3%
2 56
14.5%
0 46
11.9%
3 41
 
10.6%
6 35
 
9.1%
7 28
 
7.3%
4 25
 
6.5%
5 17
 
4.4%
8 16
 
4.2%
9 16
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
348
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1200
55.9%
Common 942
43.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 87
 
7.2%
시 75
 
6.2%
인 73
 
6.1%
동 68
 
5.7%
천 65
 
5.4%
광 65
 
5.4%
역 65
 
5.4%
구 65
 
5.4%
로 62
 
5.2%
길 39
 
3.2%
Other values (110) 536
44.7%
Common
ValueCountFrequency (%)
348
36.9%
1 105
 
11.1%
, 66
 
7.0%
) 65
 
6.9%
( 65
 
6.9%
2 56
 
5.9%
0 46
 
4.9%
3 41
 
4.4%
6 35
 
3.7%
7 28
 
3.0%
Other values (6) 87
 
9.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1200
55.9%
ASCII 945
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
36.8%
1 105
 
11.1%
, 66
 
7.0%
) 65
 
6.9%
( 65
 
6.9%
2 56
 
5.9%
0 46
 
4.9%
3 41
 
4.3%
6 35
 
3.7%
7 28
 
3.0%
Other values (9) 90
 
9.5%
Hangul
ValueCountFrequency (%)
중 87
 
7.2%
시 75
 
6.2%
인 73
 
6.1%
동 68
 
5.7%
천 65
 
5.4%
광 65
 
5.4%
역 65
 
5.4%
구 65
 
5.4%
로 62
 
5.2%
길 39
 
3.2%
Other values (110) 536
44.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-08-25
65 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 65
100.0%

Length

2024-03-18T14:56:26.661083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:56:26.766963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 65
100.0%

Interactions

2024-03-18T14:56:24.216261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:56:26.845308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준상호명영업소소재지(도로명)
기준1.0000.8621.000
상호명0.8621.0001.000
영업소소재지(도로명)1.0001.0001.000

Missing values

2024-03-18T14:56:24.365892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:56:24.481801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준상호명영업소소재지(도로명)데이터기준일자
01STYLE PC방인천광역시 중구 신포로 18-1 (신생동)2023-08-25
12스타PC방인천광역시 중구 서해대로464번길 10, 2층 (선화동)2023-08-25
23그레이PC인천광역시 중구 서해대로 478 (유동)2023-08-25
34샹떼PC방인천광역시 중구 신도시남로141번길 16 (운서동, 지하 1층)2023-08-25
45아레나PC인천광역시 중구 운서1로4번길 30, 2층 (운서동)2023-08-25
56아이센스 PC방인천광역시 중구 하늘별빛로65번길 7-4, 302,303호 (중산동, 현대프라자)2023-08-25
67주식회사 파라다이스세가사미인천광역시 중구 영종해안남로321번길 186, 2층 (운서동, 파라다이스시티)2023-08-25
78체리PC방인천광역시 중구 연안부두로33번길 7 (항동7가)2023-08-25
89프랜드PC방인천광역시 중구 우현로87번길 17 (인현동)2023-08-25
910이게 PC방이다인천광역시 중구 도원서길 27 (신흥동2가, 더존플러스)2023-08-25
기준상호명영업소소재지(도로명)데이터기준일자
5556바다PC랜드인천광역시 중구 신도시남로141번길 7, 신공항프라자 206호 (운서동)2023-08-25
5657노다지게임랜드인천광역시 중구 우현로35번길 20-1, 2층 (신포동)2023-08-25
5758드루와PC인천광역시 중구 하늘중앙로195번길 11, 104호 (중산동)2023-08-25
5859마카오PC인천광역시 중구 하늘별빛로65번길 13, 세진시티 101호 (중산동)2023-08-25
5960승부PC인천광역시 중구 영종대로196번길 26, 107호 (운서동)2023-08-25
6061빅터PC인천광역시 중구 하늘달빛로 80, LS타워 107호 (중산동)2023-08-25
6162드림＆바다PC인천광역시 중구 하늘중앙로195번길 18 (중산동)2023-08-25
6263RED FORCE PC ARENA (레드포스PC아레나)인천광역시 중구 영종대로196번길 26 (운서동)2023-08-25
6364호두PC인천광역시 중구 운중로13번길 1, 그랜드힐 (운남동)2023-08-25
6465찬스PC인천광역시 중구 도원서길 16, 1층 (선화동)2023-08-25